Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …
computing. Recently, fog and edge computing have been introduced as extensions of cloud …
Ifogsim2: An extended ifogsim simulator for mobility, clustering, and microservice management in edge and fog computing environments
Abstract Internet of Things (IoT) has already proven to be the building block for next-
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
[HTML][HTML] Anomaly detection based on artificial intelligence of things: A systematic literature mapping
Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …
Dependable intrusion detection system for IoT: A deep transfer learning based approach
Security concerns for Internet of Things (IoT) applications have been alarming because of
their widespread use in different enterprise systems. The potential threats to these …
their widespread use in different enterprise systems. The potential threats to these …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
Edge deployment framework of guardbot for optimized face mask recognition with real-time inference using deep learning
Deep learning based models on the edge devices have received considerable attention as
a promising means to handle a variety of AI applications. However, deploying the deep …
a promising means to handle a variety of AI applications. However, deploying the deep …
Service-oriented resource allocation for blockchain-empowered mobile edge computing
Integrating dense small cell (DSC) networks with mobile edge computing is employed by 5G
to tackle the contradiction between the computation limitations of user equipment (UE) and …
to tackle the contradiction between the computation limitations of user equipment (UE) and …
[HTML][HTML] Load balancing for heterogeneous serverless edge computing: A performance-driven and empirical approach
Serverless edge systems simplify the deployment of real-time AI-based Internet of Things
(IoT) applications at the edge. However, the heterogeneity of edge computing nodes–in …
(IoT) applications at the edge. However, the heterogeneity of edge computing nodes–in …
FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations
In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …
solutions to tackle contemporary challenges, from industrial automation to disaster …
[HTML][HTML] Channel assignment and power allocation for throughput improvement with ppo in b5g heterogeneous edge networks
Abstract In Beyond the Fifth Generation (B5G) heterogeneous edge networks, numerous
users are multiplexed on a channel or served on the same frequency resource block, in …
users are multiplexed on a channel or served on the same frequency resource block, in …